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Publication search results
found 63 matches
- 2024
- Robert M. Anderson, Haosui Duanmu, Aniruddha Ghosh, M. Ali Khan:
On existence of Berk-Nash equilibria in misspecified Markov decision processes with infinite spaces. J. Econ. Theory 217: 105813 (2024) - Héctor Jasso-Fuentes, Tomás Prieto-Rumeau:
Constrained Markov Decision Processes with Non-constant Discount Factor. J. Optim. Theory Appl. 202(2): 897-931 (2024) - Yulong Gao, Alessandro Abate, Lihua Xie, Karl Henrik Johansson:
Distributional Reachability for Markov Decision Processes: Theory and Applications. IEEE Trans. Autom. Control. 69(7): 4598-4613 (2024) - Naci Saldi, Sina Sanjari, Serdar Yüksel:
Quantum Markov Decision Processes Part I: General Theory, Approximations, and Classes of Policies. CoRR abs/2402.14649 (2024) - Dániel Szekeres, Kristóf Marussy, István Majzik:
A Lazy Abstraction Algorithm for Markov Decision Processes: Theory and Initial Evaluation. CoRR abs/2406.00824 (2024) - 2023
- Hoang Nam Nguyen:
Chance-Constrained Optimization: Applications in Game Theory and Markov Decision Processes. (Optimisation sous contraintes en probabilité: applications en théorie des jeux et processus de décision Markovien). University of Paris-Saclay, France, 2023 - Villavarayan Antony Vijesh, Shreyas Sumithra Rudresha, Mohammed Shahid Abdulla:
A Note on Generalized Second-Order Value Iteration in Markov Decision Processes. J. Optim. Theory Appl. 199(3): 1022-1049 (2023) - Qingda Wei, Xian Chen:
Continuous-Time Markov Decision Processes Under the Risk-Sensitive First Passage Discounted Cost Criterion. J. Optim. Theory Appl. 197(1): 309-333 (2023) - Elena Di Lavore, Mario Román:
Evidential Decision Theory via Partial Markov Categories. LICS 2023: 1-14 - Elena Di Lavore, Mario Román:
Evidential Decision Theory via Partial Markov Categories. CoRR abs/2301.12989 (2023) - 2022
- Carlos Camilo-Garay, Rolando Cavazos-Cadena, Hugo Cruz-Suárez:
Contractive Approximations in Risk-Sensitive Average Semi-Markov Decision Chains on a Finite State Space. J. Optim. Theory Appl. 192(1): 271-291 (2022) - Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. ECC 2022: 1858-1863 - Michelangelo Conserva, Paulo E. Rauber:
Hardness in Markov Decision Processes: Theory and Practice. NeurIPS 2022 - Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. CoRR abs/2203.16989 (2022) - Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng:
Towards A Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes. CoRR abs/2209.07696 (2022) - Michelangelo Conserva, Paulo E. Rauber:
Hardness in Markov Decision Processes: Theory and Practice. CoRR abs/2210.13075 (2022) - 2021
- Thomas W. Archibald, Edgar Possani:
Investment and operational decisions for start-up companies: a game theory and Markov decision process approach. Ann. Oper. Res. 299(1): 317-330 (2021) - Sérgio Luís Proença Duarte Guerreiro:
Decision-making in partially known business process environments using Markov theory and policy graph visualisation. Int. J. Bus. Inf. Syst. 36(3): 355-392 (2021) - Yi Wang, Joohyung Lee:
Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language +. Theory Pract. Log. Program. 21(3): 348-371 (2021) - Kevin Gatimu, Ben Lee:
qMDP: DASH Adaptation using Queueing Theory within a Markov Decision Process. CCNC 2021: 1-6 - Sébastien Gros, Mario Zanon:
A Dissipativity Theory for Undiscounted Markov Decision Processes. CoRR abs/2104.10997 (2021) - 2020
- Galit Ashkenazi-Golan, János Flesch, Arkadi Predtetchinski, Eilon Solan:
Reachability and Safety Objectives in Markov Decision Processes on Long but Finite Horizons. J. Optim. Theory Appl. 185(3): 945-965 (2020) - Julio Saucedo-Zul, Rolando Cavazos-Cadena, Hugo Cruz-Suárez:
A Discounted Approach in Communicating Average Markov Decision Chains Under Risk-Aversion. J. Optim. Theory Appl. 187(2): 585-606 (2020) - 2019
- Matthieu Geist, Bruno Scherrer, Olivier Pietquin:
A Theory of Regularized Markov Decision Processes. ICML 2019: 2160-2169 - Matthieu Geist, Bruno Scherrer, Olivier Pietquin:
A Theory of Regularized Markov Decision Processes. CoRR abs/1901.11275 (2019) - 2018
- Sérgio Guerreiro:
Using Markov Theory to Deliver Informed Decisions in Partially Observable Business Processes Operation. Int. J. Oper. Res. Inf. Syst. 9(2): 53-72 (2018) - Soroush Saghafian:
Ambiguous partially observable Markov decision processes: Structural results and applications. J. Econ. Theory 178: 1-35 (2018) - Abolfazl Lavaei, Sadegh Soudjani, Majid Zamani:
From Dissipativity Theory to Compositional Construction of Finite Markov Decision Processes. HSCC 2018: 21-30 - 2017
- Pu Zhao, Xue Lin, Yanzhi Wang, Shuang Chen, Massoud Pedram:
Hierarchical resource allocation and consolidation framework in a multi-core server cluster using a Markov decision process model. IET Cyper-Phys. Syst.: Theory & Appl. 2(3): 118-126 (2017) - Paul Weng, Olivier Spanjaard:
Functional Reward Markov Decision Processes: Theory and Applications. Int. J. Artif. Intell. Tools 26(3): 1760014:1-1760014:20 (2017)
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